How to Use the NIST NVD MCP in AutoGen

Enable multi-agent debate on security threats using the NIST NVD MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect NIST NVD MCP to AutoGen

Create your Vinkius account to connect NIST NVD to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup NIST NVD with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent vulnerability debate

Let your security and operations agents negotiate the risk of a specific CVE. One agent calls `get_cve_by_id` to get the facts, while another critiques the impact on your infrastructure. This debate forces a consensus before any action occurs. It moves your system beyond simple automation into active deliberation.

Dynamic security policy negotiation

Assign agents to monitor different aspects of your stack. When one agent uses `search_cve_by_severity` to flag a high-risk issue, the others discuss the mitigation strategy. This negotiation process ensures that your response is balanced. You avoid overreacting to false positives or ignoring real threats.

Automated threat consensus

Use the server to provide the common data ground for your agents. By querying `search_cve_by_cwe`, your agents build a shared understanding of common weakness patterns. They converge on a solution based on that data. The result is a decision that has been checked by multiple perspectives.

Setup guide

Set up NIST NVD MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes NIST NVD tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="NIST NVD_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent NIST NVD data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="NIST NVD_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent NIST NVD data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NIST NVD. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect NIST NVD now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about NIST NVD MCP in AutoGen

The agents use the tool outputs as part of their conversation history. Once one agent retrieves data, the others see it and can challenge or verify the information.

Yes. When agents argue over a vulnerability, they can be programmed to query the NVD to settle the debate with objective data.

It is. You pass the tool definitions to the AssistantAgent, and it integrates into your existing multi-agent group chat seamlessly.

The conversation history tracks the data. You don't need external state management unless your specific security workflow requires long-term memory.

The server uses encrypted channels for every request. It only retrieves public vulnerability metadata, ensuring no private internal data is leaked to the NVD API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript